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On
4〜6年
6〜10年
10〜15年
15年以上
National Taiwan University
AI Technical Lead @WeBIM Services2024 ~ 現在
・
前端工程師、後端工程師、全端工程師
1ヶ月以内
Preston Tseng AI Technical Lead at WeBIM Services Since high school, I have embarked on a journey of self-education in programming. My enthusiasm for technology motivated me to enroll in computer science courses throughout my university and postgraduate studies. Eager to refine my practical skills, I actively participated in internships and side-projects from my university years. Initially, I began my career as a front-end developer. However, my eagerness to expand my skill set led me to volunteer for back-end development tasks, ultimately transitioning into a full-stack developer role. I possess
就職中
・
就職希望
フルタイム / リモートワークに興味あり
4〜6年
National Taiwan University
・
Civil Engineering (Division of Transportation Engineering)
Engineer II @SiFive2022 ~ 現在
・
1ヶ月以内
verify the correctness of clocks and hardware IPs Product Engineer SyntecGroup SepFebHsinchu , Taiwan Develop the motion trajectory control on laser cutting and laser marking machines Improve the gap tracking subsystem to control the tooling gap Provide total solutions to clients to build up the highly automated production line Education National Taiwan University Mechanical EngineeringNational Chung Cheng University Mechanical EngineeringSkills Programming Languages: C/C++, C#, Python, Shell Professions: OOP/Design Pattern, CI/CD Integration, Linux Kernel Certifications & Awards Coursera - Data Structures (UC San Deigo, SepCoursera - Algorithms (UC San Deigo, AugExcellent Work - ARM Design Contest (Sep
就職中
・
就職希望
フルタイム / リモートワークに興味あり
4〜6年
National Taiwan University
・
Mechanical Engineering
就職中
・
就職希望
フルタイム / リモートワークに興味あり
4〜6年
National Taiwan University
・
Agricultural Chemistry
Past
Senior Software Engineer @DOINT2021 ~ 2023
・
Software engineer, Image Processing engineer, Algorithm engineer
3ヶ月以内
looking to innovate and find efficient solutions. I thrive on expanding my knowledge of coding and the challenge of being an algorithm engineer truly brings me passion in my work. Senior Software/Algorithm Engineer Taipei, Taiwan [email protected] Skills Programming Lang. C/C++ Python Shell Script CMake Tool Git Docker Doxygen Swig (API for python from C++) OpenCV OpenCL Linux Skill multi-threads distributed computing serialization/deserialization CICD data version control (DVC) MLOps Image Processing PCA Interactive Segmentation Connected Component Image Stitching Direct Linear Transformation Kalman Filter
無職
フルタイム / リモートワークに興味あり
6〜10年
National Taiwan University
・
Communication Engineering
Consultant @TATA Consultancy Service (TCS)2023 ~ 現在
・
Senior Software Engineer
1ヶ月以内
— Jingping Wang 王景平 More than 15+ years of experience in software development. Projects participated include from large scale insurance/banking web applications to mobile applications. In recent years, I have been engaged in software defined networking and 4G/5G user data plane networking. Taipei City, Taiwan Phone:E-Mail: jingping.w＠tcs.com EXPERIENCE Full Stack Engineer • TATA Consultancy Services (TCS) JanPresent TaiShin Bank Richart App Frontend / 台新 Richart 數位銀行 TaiShin Bank Richart App Backend / 台新 Richart 數位銀行 TaiShin
就職中
フルタイム / リモートワークに興味あり
15年以上
National Taiwan University
・
Atmospheric Sciences
Principle Engineer (FAE) @LG Display Taiwan Corporation, IT Customer Supporting Division2020 ~ 現在
・
Principle Engineer (FAE or Product & Project Manager) above
1年以内
Yu-Cheng Syu (Rickson) I am talented in integration of technical development and project manager, which comprehensively experienced on touch display solution and discrete power device fields, especially focusing on global automotive and IT market. And, successfully technical supporting for customer's electronics system communication debugging, holding several global automotive / IT NBPC product develop projects effectively with ingeniously cross-functional coordinating capabilities, dedicating as an all-round communication window between customer and company inside. I am energetic, patiently communicating and highly enthusiastic for advanced products developing, specifically in front of market trends or specifications. My education
就職中
フルタイム / リモートワークに興味あり
10〜15年
National Taiwan University
・
Ph.D. candidate, Graduate Institute of Electronics Engineering
人工智慧工程師 @玉山銀行智能金融處 (Intelligent Finance Dept., E-SUN Bank )2020 ~ 現在
・
Machine Learning Researcher / Engineer
1ヶ月以内
Jeffrey Lin ( 林奕勳 ) ESUN Bank, Intelligent Finance Technology Department, AI Engineer focusing on Enterprise-Level ML Frameworks and Design Patterns [email protected] TW, Taipei CAREER SUMMARY 6+ years of deep learning research and development experience, with a strong ability in prototyping, evaluation, and deployment of models, in both academical and industrial environment. 2+ years of financial AI development experience, specialized in the design of python API, SDK, and framework for optimizing the deployment flow of data science, ETL, and machine learning pipelines. 1+ year of participation in the technology management
就職中
フルタイム / リモートワークに興味あり
4〜6年
National Taiwan University
・
Graduate Institute of Communication EngineeringSenior Software Engineer @Moldex3D ( CoreTech System Co. Ltd.)2016 ~ 現在
・
Senior Software Engineer
1年以上
就職中
・
就職を希望していません
フルタイム / リモートワークに興味あり
4〜6年
National Taiwan University
・
Civil Engineering就職中
・
就職を希望していません
フルタイム / リモートワークに興味あり
6〜10年
National Taiwan University
・
Electrical Engineering
NAND Mechanism RD, Machine Learning Engineer @PHISON2015 ~ 現在
・
Machine Learning Engineer / Data Science Engineer
1年以上
Kled Chen Assistant Manager (Now) Software Engineer (9 years) Algorithm Developer (6 years) Machine Learning Engineer (3 years) Physics Master Financial Researcher [email protected] Skills Power Point / Excel / Office C++ / C / Python / Git Algorithm Development / Data analyse Machine Learning / Neuron network / Tensorflow / Keras / Autoencoder / CNN Physics 學歷 NATIONAL TAIWAN UNIVERSITY, Physics Master, 2008 ~ 2010 ‧ Magnetic Quantum Confinement and Interaction of Co Nanoislands Resolved by Spin-Polarized Scanning Tunneling Microscopy and Spectroscopy ‧ 2010 Physics Annual Meeting of the Physics Best Paper in Magnetics Material
フルタイム / リモートワークに興味あり
6〜10年
NATIONAL TAIWAN UNIVERSITY
・
Physics Master最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
- 検索結果をすべて閲覧
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- 有料企業にのみ履歴書を公開
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UI designer -UX
Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
現在の状況
就職中
求人検索の進捗
Professions
Software Engineer, Research / R&D, Machine Learning Engineer
Fields of Employment
Manufacturing, 人工知能／機械学習, ソフトウェア
職務経験
1〜2年
Management
なし
スキル
言語
Chinese
・
ネイティブまたはバイリンガル
English
・
中級者
Japanese
・
初心者
Job search preferences
希望のポジション
機器學習、資料科學工程師
求人タイプ
フルタイム
希望の勤務地
Taiwan, 台灣, Taipei, 台灣
リモートワーク
リモートワークに興味あり
Freelance
はい、私はアマチュアのフリーランスです。
学歴
学校
National Taiwan University
専攻
Civil Engineering
Zhao-Yang Zhuang (莊昭陽)
Experience with computer vision, deep learning. I am very passionate about design a novel DL model architecture for real world problems and hope to participate in more types of applications.
ML engineer Data scientist
[email protected] https://www.linkedin.com/in/rogan-zhuang/
Educations
National Taiwan University
Civil Engineering, Computer-Aided Engineering Group (M.S. degree)
(2018 ~ 2020)
Master Thesis:
Deep-learning method assisted crane for sway prediction: Recurrent Kalman Network.
Work Experiences
(Automation Services Co., LTD.) (AI/CV Engineer)
(Feb, 2021 - Oct, 2021)
- The main developer of AI/CV algorithm.
- Compiled the AI/CV part of automatic fabric inspection machine alone from scratch.
Research Experiences
Deep-learning method assisted crane for sway prediction : Recurrent Kalman Network
(Dec, 2019 - Jun, 2020)
Robotic LAB, NTU & 祐彬 Construction Co., Ltd
- Predicting the future position of a payload by RKN to assist in the automation of crane.
- The state of the payload system can be inferred by the combined information between the image pixels.
Tensorflow(Keras) OpenCV Python C/C++ Deep Learning
The second generation of automatic fabric inspection machine
(Feb, 2021 - Apr, 2021)
Automation Services Co., LTD.
- Detecting the defects on the textile by deep learning that efficiency is at least ten times of manual visual inspection.
- Calculate the area and location of defects by semantic segmentation.
- The prototype machine can detect the width of about two meters with eight cameras.
C# Deep Learning
The third generation of automatic fabric inspection machine
(May, 2021 - Oct, 2021)
Automation Services Co., LTD.
- Based on the second-generation inspection machine, all of the features are upgraded, such as image grabbing system, camera calibration system, deep learning framework, thread optimization, etc.
- This mass production machine is online.
- Not implemented using Tensorflow or Pytorch.
Key achievement: 100% detection of defects required by customers, 36x8 frames per second detection speed.
C# Deep Learning Cameras System Multithread Programming
Side Projects
- Image automatic labeling: CNN-base object tracking by Siam-Net. [labeling 90x faster than manual]
- Document layout analyzing: locate file elements (titles, text, pictures, etc.) by image segmentation.
- HousePrice-prediction: Predict the HousePrice in Feature Engineering & Advanced Regression. [Kaggle top 0.04%]
- Flowers classification: Distributed training a CNN to classify 104 kinds of flower pictures. [Kaggle top 0.09%]
Zhao-Yang Zhuang (莊昭陽)
Experience with computer vision, deep learning. I am very passionate about design a novel DL model architecture for real world problems and hope to participate in more types of applications.
ML engineer Data scientist
[email protected] https://www.linkedin.com/in/rogan-zhuang/
Educations
National Taiwan University
Civil Engineering, Computer-Aided Engineering Group (M.S. degree)
(2018 ~ 2020)
Master Thesis:
Deep-learning method assisted crane for sway prediction: Recurrent Kalman Network.
Work Experiences
(Automation Services Co., LTD.) (AI/CV Engineer)
(Feb, 2021 - Oct, 2021)
- The main developer of AI/CV algorithm.
- Compiled the AI/CV part of automatic fabric inspection machine alone from scratch.
Research Experiences
Deep-learning method assisted crane for sway prediction : Recurrent Kalman Network
(Dec, 2019 - Jun, 2020)
Robotic LAB, NTU & 祐彬 Construction Co., Ltd
- Predicting the future position of a payload by RKN to assist in the automation of crane.
- The state of the payload system can be inferred by the combined information between the image pixels.
Tensorflow(Keras) OpenCV Python C/C++ Deep Learning
The second generation of automatic fabric inspection machine
(Feb, 2021 - Apr, 2021)
Automation Services Co., LTD.
- Detecting the defects on the textile by deep learning that efficiency is at least ten times of manual visual inspection.
- Calculate the area and location of defects by semantic segmentation.
- The prototype machine can detect the width of about two meters with eight cameras.
C# Deep Learning
The third generation of automatic fabric inspection machine
(May, 2021 - Oct, 2021)
Automation Services Co., LTD.
- Based on the second-generation inspection machine, all of the features are upgraded, such as image grabbing system, camera calibration system, deep learning framework, thread optimization, etc.
- This mass production machine is online.
- Not implemented using Tensorflow or Pytorch.
Key achievement: 100% detection of defects required by customers, 36x8 frames per second detection speed.
C# Deep Learning Cameras System Multithread Programming
Side Projects
- Image automatic labeling: CNN-base object tracking by Siam-Net. [labeling 90x faster than manual]
- Document layout analyzing: locate file elements (titles, text, pictures, etc.) by image segmentation.
- HousePrice-prediction: Predict the HousePrice in Feature Engineering & Advanced Regression. [Kaggle top 0.04%]
- Flowers classification: Distributed training a CNN to classify 104 kinds of flower pictures. [Kaggle top 0.09%]